This package is considered a duplicate. The official version of this package is found at:https://sinnweja.r-universe.dev/regmed

Package: regmed 2.1.0

Jason Sinnwell

regmed: Regularized Mediation Analysis

Mediation analysis for multiple mediators by penalized structural equation models with different types of penalties depending on whether there are multiple mediators and only one exposure and one outcome variable (using sparse group lasso) or multiple exposures, multiple mediators, and multiple outcome variables (using lasso, L1, penalties).

Authors:Jason Sinnwell [aut, cre], Daniel Schaid [aut]

regmed_2.1.0.tar.gz
regmed_2.1.0.tar.gz(r-4.5-noble)regmed_2.1.0.tar.gz(r-4.4-noble)
regmed_2.1.0.tgz(r-4.4-emscripten)regmed_2.1.0.tgz(r-4.3-emscripten)
regmed.pdf |regmed.html✨
regmed/json (API)
NEWS

# Install 'regmed' in R:

install.packages('regmed', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

med - Simulated dataset for regmed package
x - Simulated dataset for regmed package
y - Simulated dataset for regmed package

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas cpp

3.00 score 2 stars 223 downloads 23 exports 26 dependencies

Last updated 2 years agofrom:99e05fccb9. Checks:1 OK, 2 NOTE. Indexed: no.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 22 2025
R-4.5-linux-x86_64	NOTE	Mar 22 2025
R-4.4-linux-x86_64	NOTE	Mar 22 2025

Exports:mvregmed.edges mvregmed.fit mvregmed.grid mvregmed.grid.bestfit mvregmed.lavaan.dat mvregmed.lavaan.model plot.mvregmed.edges plot.mvregmed.grid plot.regmed.edges plot.regmed.grid print.regmed print.regmed.grid regmed.edges regmed.fit regmed.grid regmed.grid.bestfit regmed.lavaan.dat regmed.lavaan.model regmed.prefilter summary.lavaan summary.mvregmed summary.mvregmed.grid summary.regmed

Dependencies:cli cpp11 evaluate glasso glue gtools highr igraph knitr lattice lavaan lifecycle magrittr MASS Matrix mnormt numDeriv pbivnorm pkgconfig quadprog Rcpp RcppArmadillo rlang vctrs xfun yaml

Regularized_Mediation_Examples

DJ Schaid, JP Sinnwell

Rendered fromregmed.Rmdusingknitr::rmarkdownon Mar 22 2025.

Last update: 2023-01-20
Started: 2021-04-12

Citation

To cite package ‘regmed’ in publications use:

Sinnwell J, Schaid D (2023). regmed: Regularized Mediation Analysis. R package version 2.1.0, https://CRAN.R-project.org/package=regmed.

Corresponding BibTeX entry:

  @Manual{,
    title = {regmed: Regularized Mediation Analysis},
    author = {Jason Sinnwell and Daniel Schaid},
    year = {2023},
    note = {R package version 2.1.0},
    url = {https://CRAN.R-project.org/package=regmed},
  }

Readme and manuals

The regmed Package`regmed`

Mediation analysis for multiple mediators by penalized structural equation models using sparse group lasso. The penalty considers the natural groupings of parameters that determine mediation, as well as encourages sparseness of the model parameters.

The regmed.grid() Function`regmed.grid()`

regmed.grid() is a function that fits regularized mediation models over a vector grid of lambda penalty values. Structural equation models for analysis of multiple mediators are extended by creating a sparse group lasso penalized model such that the penalty considers the natural groupings of the pair of parameters that determine mediation, as well as encourages sparseness of the model parameters.

The regmed.fit() Function`regmed.fit()`

regmed.fit() fits a regularized mediation model for a specified lambda penalty value. We provide summary and plot methods implemented on the S3 class created by the function.

Publication

Help Manual

Help page	Topics
Regularized Mediation Analysis	regmed-package regmed
Simulated dataset for regmed package	med medsim x y
Helper function to check x, y, mediator for input to mvregmed functions	mvregmed.dat.check regmed.dat.check
For an object of class mvregmed, create edges for a graph object that can be used for plots, or for creating models input to lavaan function sem	mvregmed.edges plot.mvregmed.edges
Multivariate regularized mediation model	mvregmed.fit
Setup attributes of graph object for plotting	mvregmed.graph.attributes
Fit a grid of mvregmed models over a vector of lambda penalty parameters	mvregmed.grid summary.mvregmed.grid
Choose best fit model from a grid search based on minimum Bayesian Information Criterion	mvregmed.grid.bestfit
Helper function to summarize fits of models across a grid of lambda values	mvregmed.grid.data
Helper function to update parameters in a grid search	mvregmed.grid.update
Helper function to setup data and parameters for input to mvregmed.fit and mvregmed.grid	mvregmed.init
Set up data to input to lavaan sem	mvregmed.lavaan.dat
Setup a model for input to lavaan	mvregmed.lavaan.model
Plot penalty parameter lambda versus BIC for model fits	plot.mvregmed.grid
Plots for regmed.grid object.	plot.regmed.grid
For an object of class regmed, create edges for a graph object that can be used for plots, or for creating models input to lavaan function sem	plot.regmed.edges regmed.edges
Regularized Mediation model for a specified lambda penalty value.	print.regmed regmed.fit summary.regmed
Regularized mediation models over a vector grid of lambda penalty values.	print.regmed.grid regmed.grid summary.regmed.grid
Find best fitting regmed model from regmed.grid object.	regmed.grid.bestfit
Set up data to input to lavaan sem	regmed.lavaan.dat
Create a lavaan model	regmed.lavaan.model summary.lavaan
Prefilter to reduce the number of mediators for subsequent analyses	regmed.prefilter
Summary of mvregmed object	summary.mvregmed